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ICML
2009
IEEE
16 years 7 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ALT
2009
Springer
16 years 4 months ago
Uncountable Automatic Classes and Learning
In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vac...
Sanjay Jain, Qinglong Luo, Pavel Semukhin, Frank S...
ECML
2005
Springer
16 years 16 days ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
COLT
2003
Springer
16 years 7 days ago
A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria
A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...
Amy R. Greenwald, Amir Jafari
COLT
2003
Springer
16 years 7 days ago
Learning All Subfunctions of a Function
Sublearning, a model for learning of subconcepts of a concept, is presented. Sublearning a class of total recursive functions informally means to learn all functions from that cla...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen